Michael J. Frank
Affiliations: | 2006-2008 | University of Arizona, Tucson, AZ | |
| 2009- | Brown University, Providence, RI |
Area:
computational models, basal ganglia, reinforcement learning, decision makingWebsite:
http://ski.clps.brown.edu/Google:
"Michael Frank"Mean distance: 13.61 (cluster 23) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentor| Randall C. O'Reilly | grad student | 1999-2004 | CU Boulder | |
| (Dynamic dopamine modulation of striato-cortical circuits in cognition: Converging neuropsychological, psychopharmacological and computational studies.) | ||||
| Tim Curran | post-doc | 2004-2005 | CU Boulder | |
Children
Sign in to add trainee| Wasita Mahaphanit | research assistant | 2018- | Brown |
| Thomas V. Wiecki | grad student | Brown | |
| Alana Jaskir | grad student | 2018- | |
| Shikhar Kumar | grad student | 2007-2009 | University of Arizona |
| Nicholas T Franklin | grad student | 2011-2017 | Brown |
| Harrison Ritz | grad student | 2016-2021 | Brown |
| Meghan Elizabeth Gallo | grad student | 2020-2023 | Brown |
| Guillaume Pagnier | grad student | 2019-2024 | |
| Ahmed A. Moustafa | post-doc | Rutgers, New Brunswick | |
| Matt R. Nassar | post-doc | Brown | |
| Anne GE Collins | post-doc | 2010- | Brown |
| Michael X. Cohen | post-doc | 2008-2009 | Aniversity of Arizona |
| James F. Cavanagh | post-doc | 2010-2013 | Brown |
BETA: Related publications
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Publications
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| Soni A, Frank MJ. (2025) Adaptive chunking improves effective working memory capacity in a prefrontal cortex and basal ganglia circuit. Elife. 13 |
| Kuhn M, Palermo EH, Pagnier G, et al. (2025) Computational Phenotyping of Effort-Based Decision Making in Unmedicated Adults with Remitted Depression. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging |
| Ging-Jehli NR, Cavanagh JF, Ahn M, et al. (2025) Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty. Plos Biology. 23: e3002978 |
| Soni AV, Frank MJ. (2024) Adaptive chunking improves effective working memory capacity in a prefrontal cortex and basal ganglia circuit. Biorxiv : the Preprint Server For Biology |
| Russin J, Pavlick E, Frank MJ. (2024) Human Curriculum Effects Emerge with In-Context Learning in Neural Networks. Arxiv |
| Pagnier GJ, Asaad WF, Frank MJ. (2024) Double dissociation of dopamine and subthalamic nucleus stimulation on effortful cost/benefit decision making. Current Biology : Cb |
| Culbreth AJ, Moran EK, Mahaphanit W, et al. (2023) A Transdiagnostic Study of Effort-Cost Decision-Making in Psychotic and Mood Disorders. Schizophrenia Bulletin |
| Jaskir A, Frank MJ. (2023) On the normative advantages of dopamine and striatal opponency for learning and choice. Elife. 12 |
| Rac-Lubashevsky R, Cremer A, Collins A, et al. (2023) Neural index of reinforcement learning predicts improved stimulus-response retention under high working memory load. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Liu RG, Frank MJ. (2022) Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning. Artificial Intelligence. 312 |